| Abstract: |
Probabilistic argumentation systems are based on assumption-based
reasoning for obtaining arguments supporting hypotheses and on
probability theory to compute probabilities of supports.
Assumption-based reasoning is closely related to hypothetical
reasoning or inference through theory formation. The latter approach
has well known relations to abduction and default reasoning. In this
paper assumption-based reasoning, as an alternative to theory
formation aiming at a different goal, will be presented and its use
for abduction and model-based diagnostics will be explained.
Assumption-based reasoning is well suited for defining a probability
structure on top of it. On the base of the relationships between
assumption-based reasoning on the one hand and abduction on the other
hand, the added value introduced by probability into model based
diagnostics will be discussed.
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